| 1065 |
Centers for Disease Control and Prevention |
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en |
Notes from the Field: Assessment of Potential ZoonoticDisease Exposure and Illness Related to an Annual Bat Festival -Idanre, Nigeria |
Neil M. Vora1, Modupe Osinubi2, Ryan M. Wallace1, Abimbola Aman-Oloniyo3, Yemi H. |
| bat exposures | 0.734673 |
| Nipah virus infection | 0.789789 |
| infectious diseases | 0.895526 |
| Public health interventions | 0.795912 |
| Human Services | 0.773574 |
| Laboratory Training Program | 0.804191 |
| MMWR HTML versions | 0.787693 |
| U.S. Department | 0.775933 |
| bat hunters | 0.742789 |
| laboratory resources | 0.707294 |
| seed dispersal | 0.719153 |
| electronic PDF version | 0.78882 |
| high-consequence zoonoses | 0.724753 |
| pest control | 0.718102 |
| personal protective equipment | 0.782858 |
| habitat encroachment | 0.707671 |
| rabies vaccine | 0.815587 |
| Contact GPO | 0.718662 |
| protective equipment | 0.807691 |
| large distances | 0.721315 |
| elaborate rituals | 0.71045 |
| FELTP investigation | 0.709211 |
| original paper copy | 0.781932 |
| bat bites | 0.738277 |
|
| wildlife origins | 0.706437 |
| Nigerian Federal Ministry | 0.827699 |
| Marburg virus | 0.708581 |
| proactive approach | 0.704433 |
| original MMWR paper | 0.795094 |
| U.S. Government Printing | 0.789499 |
| Nigerian FELTP | 0.729691 |
| Additional data analyses | 0.792815 |
| health consequences | 0.720181 |
| vital ecologic services | 0.831464 |
| evolutionary diversity | 0.709466 |
| human populations | 0.723423 |
| MMWR readers | 0.706513 |
| acute respiratory syndrome | 0.78699 |
| novel pathogens | 0.7088 |
| Nigerian bats | 0.885209 |
| Rousettus aegyptiacus bats | 0.959534 |
| Nigerian Field Epidemiology | 0.824902 |
| Festival participants | 0.716728 |
| bat scratches | 0.853921 |
| food source | 0.724358 |
| gregarious roosting behaviors | 0.840153 |
| infectious disease | 0.718741 |
| zoonotic disease exposures | 0.822956 |
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| 4682 |
Centers for Disease Control and Prevention |
Html |
en |
Reach and effectiveness of a weight loss intervention in patients with prediabetes in Colorado |
null |
| diabetes prevention | 0.467479 |
| electronic medical records | 0.628247 |
| individual random effects | 0.416181 |
| modest weight loss | 0.389973 |
| health care provider | 0.35382 |
| integrated health care | 0.493585 |
| body weight | 0.465549 |
| Kaiser Permanente Colorado | 0.716299 |
| diabetes prevention class | 0.366128 |
| health care organization | 0.523372 |
| small-group session | 0.729664 |
| IFG measurement range | 0.355197 |
| small-group participants | 0.742672 |
| initial body weight | 0.352546 |
| weight loss | 0.976908 |
| healthful eating | 0.371188 |
| weight management | 0.369478 |
| initial IFG measurement | 0.355753 |
| Virginia Polytechnic Institute | 0.372905 |
| closed-group health care | 0.35216 |
| health care settings | 0.606453 |
| 90-minute small-group session | 0.469332 |
| objectively assessed weight | 0.363681 |
| effective weight loss | 0.398655 |
| weight loss intervention | 0.595885 |
|
| 12-month follow-up weight | 0.354613 |
| weight loss specialist | 0.380342 |
| potential reach | 0.379031 |
| mean weight loss | 0.3659 |
| IFG measurement | 0.550101 |
| lifestyle changes | 0.370455 |
| small-group weight loss | 0.655077 |
| body mass index | 0.427096 |
| personal action | 0.416747 |
| small-group treatment | 0.384899 |
| significantly higher proportion | 0.406831 |
| small-group participation date | 0.455987 |
| health care | 0.811945 |
| routine health care | 0.543743 |
| brief intervention strategy | 0.405242 |
| weight loss goals | 0.378293 |
| physical activity | 0.846258 |
| theory-based weight loss | 0.390683 |
| brief small-group interventions | 0.453709 |
| small-group problem | 0.404742 |
| Diabetes Prevention Program | 0.381266 |
| weight loss delay | 0.383852 |
| effective programs | 0.35292 |
| diabetes | 0.475534 |
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| 5453 |
Centers for Disease Control and Prevention |
Html |
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Indium - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 5794 |
Centers for Disease Control and Prevention |
Html |
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Camphor (synthetic) - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6830 |
Centers for Disease Control and Prevention |
Html |
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Adults and Older Adult Adverse Drug Events - Medication Safety Program |
A set of guidelines and tips for adults and older adults to avoid or reduce adverse drug events. |
| antibiotic | 0.219549 |
| people age | 0.295649 |
| emergency department visits | 0.390731 |
| infectious diseases | 0.304466 |
| blood tests | 0.291469 |
| pharmacist | 0.220675 |
| Page | 0.293971 |
| regular monitoring | 0.288335 |
| Common drugs | 0.295381 |
| viral infections | 0.45891 |
| pain medicines | 0.376469 |
| emergency visit | 0.293366 |
| opioid pain relievers | 0.399842 |
| viruses | 0.235881 |
| pay particular attention | 0.370002 |
| heroin | 0.219388 |
| regular blood testing | 0.357086 |
| Americans | 0.262638 |
| patients | 0.240873 |
| colds | 0.220291 |
| sore throats | 0.297948 |
| good drugs | 0.286151 |
| quality | 0.218244 |
| adverse drug events | 0.998811 |
|
| runny noses | 0.297727 |
| certain types | 0.287433 |
| pain relievers | 0.443395 |
| millions | 0.246597 |
| antibiotics | 0.353444 |
| problems | 0.221428 |
| treatment | 0.219706 |
| medicines | 0.646249 |
| harm | 0.251792 |
| cocaine | 0.219476 |
| coughs | 0.223431 |
| times | 0.219222 |
| oxycodone | 0.22223 |
| blood testing | 0.522637 |
| adverse drug event | 0.439732 |
| unintentional overdoses | 0.297564 |
| chronic diseases | 0.303464 |
| opioid analgesics | 0.308627 |
| adverse events | 0.400058 |
| emergency departments | 0.365105 |
| emergency visits | 0.575577 |
| Older adults | 0.289154 |
| doctor | 0.261286 |
| hydrocodone | 0.22334 |
|
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| 8590 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, Edna Breedlove Clampitt |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| North Carolina | 0.946159 |
| date | 0.523482 |
| country | 0.52293 |
| siblings | 0.526064 |
| dad | 0.525311 |
| Edna Breedlove Clampitt | 0.799401 |
| throats | 0.533052 |
| strong mountain woman | 0.707925 |
| old Woodrow | 0.619296 |
| grandmother′s brothers | 0.623439 |
| journey | 0.522897 |
| ill | 0.52784 |
| western North Carolina | 0.74735 |
| Lord | 0.521995 |
| tombstones | 0.560258 |
| half century | 0.626292 |
| drive | 0.522399 |
| Grandma Clampitt | 0.639815 |
| big pot | 0.626009 |
| Ida Mae Breedlove | 0.74939 |
| late spring | 0.635898 |
| Wade Breedlove | 0.652014 |
| moment | 0.547043 |
| untimely death | 0.627736 |
| world | 0.522502 |
|
| Storyteller | 0.526011 |
| deep personal faith | 0.711771 |
| terrible night | 0.621254 |
| small mountainside cemetery | 0.764294 |
| Jessie Crane | 0.634144 |
| rest | 0.584071 |
| grandmother | 0.703764 |
| mid–December | 0.522195 |
| newborn | 0.522804 |
| families | 0.522024 |
| Debbie Crane | 0.643009 |
| special meals | 0.620093 |
| flu | 0.594108 |
| home | 0.522445 |
| Swain County | 0.768016 |
| lives farming | 0.622028 |
| pregnant mother | 0.629182 |
| little pot | 0.6259 |
| late fall | 0.620851 |
| Asheville | 0.521911 |
| visit | 0.542457 |
| family | 0.678595 |
| Location | 0.526027 |
| story | 0.522983 |
|
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| 10619 |
Centers for Disease Control and Prevention |
Html |
en |
The Model Aquatic Health Code (MAHC) |
null |
| MAHC-based model inspection | 0.930371 |
| localities | 0.299417 |
| email address | 0.679803 |
| policies | 0.252392 |
| States | 0.255515 |
| swimming | 0.256953 |
| public aquatic facilities | 0.860216 |
| design | 0.252805 |
| aquatics sector | 0.610521 |
| pool-chemical injuries | 0.556452 |
| construction | 0.252702 |
| cheat sheet | 0.599896 |
| MAHC guidelines | 0.530173 |
|
| state authorities | 0.591318 |
| pool codes | 0.547944 |
| form | 0.263195 |
| voluntary guidance document | 0.905136 |
| best practices | 0.565787 |
| science | 0.257807 |
| Aquatic Health Code | 0.940837 |
| water activities | 0.560034 |
| Submit | 0.268216 |
| risk | 0.254676 |
| outbreaks | 0.296914 |
| operation | 0.252599 |
|
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| 12670 |
Centers for Disease Control and Prevention |
Video |
en |
Have You Heard? | Meningococcal Disease |
Have YOU heard? Meningococcal disease is a serious, potentially fatal illness. There are approximately 1,000-2,000 cases of meningococcal disease in the United States each year. Pre-teens, adolescents, and college freshmen who live in dorms are at an increased risk for meningococcal disease. Regular check-ups during the pre-teen and adolescent years are great opportunities for your child to receive the meningococcal and other recommended vaccines.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/cdctv/ |
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CLICK HERE |
| 15260 |
Centers for Disease Control and Prevention |
Html |
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Parents | Infant Immunizations Frequently Asked Questions | CDC |
Infant Immunizations FAQs (for parents) |
| vaccines | 0.975793 |
| United States | 0.674336 |
| immunization schedule | 0.42427 |
| vaccine protection | 0.393759 |
| preventable diseases | 0.374067 |
| infectious diseases | 0.432594 |
| immunity | 0.433465 |
| babies | 0.384519 |
| common side effects | 0.368403 |
| vaccine doses | 0.394925 |
| respiratory tract infections | 0.401173 |
| child care | 0.419679 |
| young age | 0.410152 |
| children | 0.749952 |
| severe allergic reaction | 0.415287 |
| immune systems | 0.369386 |
| long-standing vaccine safety | 0.471734 |
| vaccine preventable disease | 0.441021 |
| wet washcloth | 0.367774 |
| young children | 0.748074 |
| common questions | 0.419263 |
| better immunity | 0.375849 |
| natural chickenpox infection | 0.416025 |
|
| germs | 0.372893 |
| chickenpox vaccine | 0.41241 |
| injection site | 0.435263 |
| infants | 0.409258 |
| high enough immunity | 0.382956 |
| life-threatening diseases | 0.37904 |
| natural immunity | 0.412436 |
| common combination vaccines | 0.50555 |
| diseases | 0.847757 |
| breast milk | 0.414392 |
| grocery store | 0.420748 |
| whooping cough | 0.506906 |
| vaccine | 0.621583 |
| effects | 0.39165 |
| current information | 0.37343 |
| chickenpox | 0.418784 |
| safest vaccine supply | 0.47382 |
| baby | 0.436105 |
| risk | 0.407161 |
| vaccine-preventable diseases | 0.613458 |
| time | 0.387295 |
| vaccine schedule | 0.414876 |
| MMR vaccine | 0.445222 |
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| 15624 |
Centers for Disease Control and Prevention |
Html |
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State and Regional Prevalence of Diagnosed Multiple ChronicConditions Among Adults Aged ?18 Years - United States, 2014 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| national prevalence | 0.378276 |
| higher prevalence | 0.372359 |
| multiple chronic conditions | 0.504688 |
| affirmative response | 0.316234 |
| Pacific region prevalence | 0.365977 |
| Middle Atlantic | 0.361549 |
| state prevalence | 0.340269 |
| highest adult prevalence | 0.351853 |
| Sample Adult Core | 0.392061 |
| MCC presents | 0.395057 |
| two-tailed significance tests | 0.331026 |
| National Center | 0.315284 |
| national average | 0.670511 |
| West North Central | 0.603483 |
| largest sample sizes | 0.317427 |
| standard error | 0.360422 |
| care management | 0.328245 |
| MCC prevalence | 0.903964 |
| high diabetes prevalence | 0.35768 |
| average prevalence | 0.348623 |
| obstructive pulmonary disease | 0.53478 |
| state-level surveillance programs | 0.346154 |
| overall prevalence | 0.329953 |
| Adult Core questionnaire | 0.327168 |
| geographic disparities | 0.32371 |
|
| NHIS Sample Adult | 0.386111 |
| prevalence estimates | 0.638354 |
| states | 0.355182 |
| U.S. | 0.400874 |
| service delivery | 0.413619 |
| previous research | 0.314218 |
| Health Statistics standard | 0.339544 |
| North Central regions | 0.364584 |
| MCC strategic framework | 0.406125 |
| East South Central | 0.607129 |
| South Central region | 0.342028 |
| higher MCC prevalence | 0.556262 |
| U.S. adults | 0.357342 |
| East North Central | 0.598807 |
| health | 0.383807 |
| MCC prevention activities | 0.491526 |
| MCC | 0.941201 |
| regional prevalence estimates | 0.405144 |
| chronic conditions | 0.570728 |
| U.S. states | 0.331849 |
| relative standard error | 0.312027 |
| national MCC prevalence | 0.487602 |
| North Central | 0.608184 |
| coronary heart disease | 0.441211 |
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